AIRANKS — The Authoritative Rankings for AI Web Content

AIRANKS measures AI visibility: we ask AI models real product and service questions, capture the complete answers as immutable observations, and publish what they contain — which brands were mentioned, which domains were cited, and which exact pages were linked. Every domain gets an AIR score from 1–10 (a decile of visibility in the active dataset; 0 means insufficient data), with the methodology in the open.

The live ledger — phrase, brand, and domain rankings
Methodology — how observations become scores
Domain reports — any site's AIR score, AI summary, and AI-file audit
llms.txt and llms-full.txt — the curated index for AI readers
Public API — domains, brands, phrases, search
Blog — the build log

The Question

← all rankings / dataset COBALT

Real American Freestyle

Brooks takes the top spot — still gathering data (n=1). Of 1 ranked brands, only 0 hold a position we'd call firm.

0
answers sampled: 0
brands named: 1,000
bootstrap resamples

Who AI Cites For This Question

2 cited pages · bars vs the leader

cited page titlesourcelinked pagecited

Watch Real American Freestyle | Fox Nationnation.foxnews.com nation.foxnews.com/real-american-f…1/?utm=airanks.net1

Athletes | RAFwww.realamericanfreestyle.com realamericanfreestyle.com/athletes?utm=airanks.net1

The Ranking, With Its Uncertainty

worse ← estimate → better

#brandconfidence intervalrank held

Brooks gathering

The Incomparability Lattice

what the intervals separate, not what the list claims

An edge means one brand's interval sits strictly above another's — zero overlap. No edge between two brands is not a gap in the drawing, it is the finding: their intervals overlap, and the bootstrap cannot tell them apart. Brands on the same rung are incomparable, not tied — the ranking above orders them anyway because a list has to print a total order; this diagram is the honest version.

insufficient data

0 of 1 brands on this phrase have run enough samples to carry a bootstrap interval. The lattice needs at least two measured intervals before it can show what the data does or doesn't separate.